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VulnerabilityPublished Updated

CVE-2026-18982: CWE-250

Source GCVE Database

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Authoritative record:CVE-2026-18982· High 8.8

Not known to be exploited · CVSS 8.8 High : patch Red Hat OpenShift AI 2.25 soon.

Data as of 11 Nov 2026, 23:24 UTC

CVSS 3.1 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.7% chance of exploitation in 30 days – higher than 56% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 10 Aug 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 11 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
Red HatRed Hat OpenShift AI 2.25Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.3Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.4Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.4Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.5Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.5Affected–Fixed in–

AI-suggested

Red Hat has released updated RHOAI images (2.25.10 and 3.4.3) that address this vulnerability. Users should upgrade their Red Hat OpenShift AI clusters to these versions following the official Red Hat documentation to fully apply the errata update. No other specific mitigations are indicated by the vendor advisory.

Description

A vulnerability in the RHOAI training-operator allows users with standard edit or admin roles in any Kubernetes namespace to escalate privileges. By creating training jobs, attackers can impersonate service accounts, access the host filesystem, and potentially execute arbitrary code remotely. This issue is due to the aggregation of training job permissions onto native Kubernetes edit and admin ClusterRoles combined with unrestricted PodTemplateSpec passthrough. The vulnerability has a high severity CVSS score of 8.8. Red Hat has released updated images for Red Hat OpenShift AI to address this issue and provides documentation for upgrading clusters to mitigate the risk.

References

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